Message From Chairman
Dr. Mehedi Hasan Talukder
Computer Science and Engineering is at the intellectual forefront of the digital revolution that will define the 21st century. That revolution is in its early stages but is visible all around us. New scientific, economic and social paradigms are arising from computing science and being felt across all sectors of the economy and society at large. For accepting this technological challenge of the 21st century, the Department of Computer Science and Engineering is one of the most pioneering soloists of MBSTU and the country since its commencement in 2003.
NOTICE BOARD
📌 2024-03-11
Ramadan Class Routine for EDGE MBSTUCSE Digital Skill Training
📌 2024-03-05
EDGE MBSTU CSE Digital Skill Training Class Routine
📌 2024-01-30
Notice for the Registration of Digital Skill Training
📌 2023-09-18
Notice for Admission in MSc/M (Engg) in CSE for Session 2022
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Top Publications
Optimizing brain tumor classification through feature selection and hyperparameter tuning in machine learning models
Mst. Sazia Tahosin, Md. Alif Sheakh, Taminul Islam, Rishalatun Jannat Lima, Mahbuba Begum, "Optimizing brain tumor classification through feature selection and hyperparameter tuning in machine learning models", Informatics in Medicine Unlocked, Elsevier, 2023. https://doi.org/10.1016/j.imu.2023.101414 (Scopus Indexed) (Q2)
A Hybrid Robust Watermarking System based on Discrete Cosine Transform, Discrete Wavelet Transform, and Singular Value Decomposition
Mahbuba Begum, Jannatul Ferdush, Mohammad Shorif Uddin, "A Hybrid Robust Watermarking System based on Discrete Cosine Transform, Discrete Wavelet Transform, and Singular Value Decomposition," Journal of King Saud University-Computer and Information Sciences, Elsevier, Sep 2022. (Scopus and Web of Science (SCIE) Indexed) (Q1)
Breast Invasive Ductal Carcinoma Classification Based on Deep Transfer Learning Models with Histopathology Images
Khan, Saikat Islam, Pulak Kanti Bhowmick, Nazrul Islam, Mostofa Kamal Nasir, and Jia Uddin, "Breast Invasive Ductal Carcinoma Classification Based on Deep Transfer Learning Models with Histopathology Images." Data Science and Data Analytics: Opportunities and Challenges (2021): 249. (WoS/SCOPUS Indexed Publication)